{"id":"W4353046709","doi":"10.1016/j.jcjd.2023.03.002","title":"Comparison of Efficacy and Safety of Commercially Available Fixed-Ratio Combinations of Insulin Degludec/Liraglutide and Insulin Glargine/Lixisenatide: A Network Meta-analysis","year":2023,"lang":"en","type":"review","venue":"Canadian Journal of Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Agios Pharmaceuticals","keywords":"Lixisenatide; Medicine; Liraglutide; Insulin glargine; Insulin degludec; Type 2 diabetes; Glycated hemoglobin; Internal medicine; Randomized controlled trial; Odds ratio; Diabetes mellitus; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02155892,0.004002114,0.0175054,0.005071166,0.0004512485,0.003670397,0.002147128,0.00244784,0.003219726],"category_scores_gemma":[0.0401429,0.001764186,0.05266073,0.003864687,0.0007133132,0.002073098,0.00149538,0.002408129,0.0003485504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597316,"about_ca_system_score_gemma":0.001675418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00443103,"about_ca_topic_score_gemma":0.005278566,"domain_scores_codex":[0.9771833,0.01579067,0.003261105,0.002131629,0.001257395,0.0003758701],"domain_scores_gemma":[0.9787249,0.01655619,0.002698489,0.0008569481,0.0009010078,0.0002624542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.009676672,0.00003963387,0.002397255,0.0363665,0.9466253,0.00004452901,0.00002297412,0.001015817,0.0001493594,0.00007782873,0.0001330932,0.003451153],"study_design_scores_gemma":[0.003407808,0.0004620059,0.001449119,0.001713961,0.9917344,0.00003333578,0.00001525657,0.0005871383,0.0000932135,0.0001778377,0.0003119888,0.00001409105],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06152662,0.9268664,0.005636472,0.0006551595,0.0008944399,0.001467593,0.001610479,0.0001495455,0.001193306],"genre_scores_gemma":[0.824749,0.1598493,0.008345472,0.001269537,0.0005024772,0.002742175,0.001738293,0.00009285094,0.0007107945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02155892,"threshold_uncertainty_score":0.1140159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222648773573692,"score_gpt":0.3463703615829895,"score_spread":0.2241054842256203,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}